4 papers
Efficient Swing Computation for Retrieval in Large-Scale Recommender Systems
Runhao Jiang, Renchi Yang
Given a user-item graph , a query item and a target item , the Swing score of the item pair leverages the user-item-user interaction struc…
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
Runhao Jiang, Renchi Yang, Donghao Wu
Recommender systems have advanced markedly over the past decade by transforming each user/item into a dense embedding vector with deep learning models. At industrial scale, embeddi…
Effective Clustering for Large Multi-Relational Graphs
Xiaoyang Lin, Runhao Jiang, Renchi Yang
Multi-relational graphs (MRGs) are an expressive data structure for modeling diverse interactions/relations among real objects (i.e., nodes), which pervade extensive applications a…
Community-Aware Social Community Recommendation
Runhao Jiang, Renchi Yang, Wenqing Lin
Social recommendation, which seeks to leverage social ties among users to alleviate the sparsity issue of user-item interactions, has emerged as a popular technique for elevating p…